The Internal Audit Summer Analyst Program is a 10-week program beginning in June. The curriculum includes an orientation to the firm, senior management speaker seminars and social and networking events to build Summer Analysts' professional networks. In addition, the Quantitative Analytics Group (QAG) within Internal Audit will provide Analysts with the opportunity to learn about the development and validation of quantitative models utilized by the firm. The Program also includes peer mentorship opportunities and community service events. All Analysts will also be assigned a group project at the start of the internship, which they will have to present to a broader audience at the end of the summer program. Training Program:
The Program includes a two-day firmwide orientation, followed by a one-day business unit-specific training where you will gain basic product knowledge and an understanding of Morgan Stanley's audit methodology. The remainder of the training is done on the job. Responsibilities: QAG Summer Analyst Responsibilities include, but are not limited to, the following:
Conduct technical reviews of model documents for risk and pricing models.
Perform independent assessment of the effectiveness of model validations for risk and pricing models.
Provide technical/quantitative support in areas of financial derivatives and risk analytics in Internal Audit engagements.
Document all work performed in a clear, concise, and re-performable manner, and upload documentation into the audit workflow tool.
Track and close technical findings identified by US Federal Regulators or UK regulators (PRA), or resulting from model audits.
Qualifications and Skills
You are pursuing a Master's degree in Quantitative Finance or a related field (e.g. Economics, Statistics, Computer Science, Mathematics or Applied Mathematics)
You have a minimum cumulative GPA of 3.0.
You graduate betweenDecember 2023 and May 2024 and have less than three years of full-time professional experience.
Strong understanding of quantitative finance and model development
Knowledge of financial markets, financial mathematics and a basic fluency in stochastic calculus, statistics and Monte Carlo methods.
Knowledge of derivative pricing models across multiple asset classes (e.g. Equities, Fixed Income and Commodities).
Knowledge of industry practice in risk modeling methodologies.
This role requires that all successful applicants be fully vaccinated against COVID-19 as a condition of employment and provide proof of such vaccinations within 3 days of commencement of employment. Applicant Process and Deadline In order to be considered, candidates must apply by September 7, 2022 at 11:55 pm EST.